Nan Guo

608 total citations
16 papers, 475 citations indexed

About

Nan Guo is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Nan Guo has authored 16 papers receiving a total of 475 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 4 papers in Molecular Biology and 3 papers in Oncology. Recurrent topics in Nan Guo's work include Phagocytosis and Immune Regulation (4 papers), Immune cells in cancer (3 papers) and Erythrocyte Function and Pathophysiology (2 papers). Nan Guo is often cited by papers focused on Phagocytosis and Immune Regulation (4 papers), Immune cells in cancer (3 papers) and Erythrocyte Function and Pathophysiology (2 papers). Nan Guo collaborates with scholars based in China, United States and India. Nan Guo's co-authors include Irving L. Weissman, Po Y. Ho, Michael Zhang, James Y. Chen, Jens-Peter Volkmer, Siddhartha S. Mitra, Kelly M. McKenna, Phung Gip, Rachel Weissman-Tsukamoto and Mingye Feng and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Blood.

In The Last Decade

Nan Guo

16 papers receiving 466 citations

Peers

Nan Guo
Asako Tajima United States
Isaiah G. Schauer United States
Nikolina Dioufa United States
Peter L. Samuels United States
Asako Tajima United States
Nan Guo
Citations per year, relative to Nan Guo Nan Guo (= 1×) peers Asako Tajima

Countries citing papers authored by Nan Guo

Since Specialization
Citations

This map shows the geographic impact of Nan Guo's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Nan Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nan Guo more than expected).

Fields of papers citing papers by Nan Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nan Guo. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Nan Guo. The network helps show where Nan Guo may publish in the future.

Co-authorship network of co-authors of Nan Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Nan Guo. A scholar is included among the top collaborators of Nan Guo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nan Guo. Nan Guo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
4.
Guo, Nan, Cheng Cheng, Mingyang Xiao, et al.. (2021). Bisphenol A drives di(2-ethylhexyl) phthalate promoting thyroid tumorigenesis via regulating HDAC6/PTEN and c-MYC signaling. Journal of Hazardous Materials. 425. 127911–127911. 36 indexed citations
5.
Guo, Nan, Peng Qu, Hao Li, et al.. (2021). BRCA2 3ʹ-UTR Polymorphism rs15869 Alters Susceptibility to Papillary Thyroid Carcinoma via Binding hsa-mir-1178-3p. Pharmacogenomics and Personalized Medicine. Volume 14. 533–544. 1 indexed citations
6.
Guo, Nan, et al.. (2021). Ginkgolide C attenuates lipopolysaccharide‑induced acute lung injury by inhibiting inflammation via regulating the CD40/NF‑κB signaling pathway. International Journal of Molecular Medicine. 47(4). 11 indexed citations
7.
9.
Liang, Jiwang, Weiliang Zeng, Fujin Fang, et al.. (2017). Clinical analysis of Hashimoto thyroiditis coexistent with papillary thyroid cancer in 1392 patients. Acta Otorhinolaryngologica Italica. 37(5). 393–400. 65 indexed citations
10.
Guo, Nan, et al.. (2017). Down-regulation of single-stranded DNA-binding protein 1 expression induced by HCMV infection promotes lipid accumulation in cells. Brazilian Journal of Medical and Biological Research. 50(11). e6389–e6389. 9 indexed citations
11.
Ho, Chia Chi M., Nan Guo, Jonathan T. Sockolosky, et al.. (2015). “Velcro” Engineering of High Affinity CD47 Ectodomain as Signal Regulatory Protein α (SIRPα) Antagonists That Enhance Antibody-dependent Cellular Phagocytosis. Journal of Biological Chemistry. 290(20). 12650–12663. 74 indexed citations
12.
Feng, Mingye, James Y. Chen, Rachel Weissman-Tsukamoto, et al.. (2015). Macrophages eat cancer cells using their own calreticulin as a guide: Roles of TLR and Btk. Proceedings of the National Academy of Sciences. 112(7). 2145–2150. 211 indexed citations
13.
Guo, Nan, Fayu Liu, Liangliang Yang, et al.. (2014). Chemokine receptor 7 enhances cell chemotaxis and migration of metastatic squamous cell carcinoma of head and neck through activation of matrix metalloproteinase-9. Oncology Reports. 32(2). 794–800. 20 indexed citations
14.
Weiskopf, Kipp, Aaron M. Ring, Nan Guo, et al.. (2014). Direct SIRPa Blockade Augments Macrophage Responses to Therapeutic Anticancer Antibodies. Blood. 124(21). 2729–2729. 1 indexed citations
15.
Guo, Nan, et al.. (2013). Inhibition of Nemo-like Kinase Increases Taxol Sensitivity in Laryngeal Cancer. Asian Pacific Journal of Cancer Prevention. 14(12). 7137–7141. 16 indexed citations
16.
Yang, Liangliang, Fayu Liu, Zhongfei Xu, et al.. (2012). Chemokine receptor 7 via proline-rich tyrosine kinase-2 upregulates the chemotaxis and migration ability of squamous cell carcinoma of the head and neck. Oncology Reports. 28(5). 1659–1664. 13 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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